Agent communications in edge computing

Cody Bumgardner, Caylin Hickey, Nima Seyedtalebi

Producción científica: Conference contributionrevisión exhaustiva

Resumen

The use of edge computing techniques can be extremely beneficial to distributed applications when is it more efficient to process data in proximity to data sources than to transmit data to remote computational resources. The introduction of edge computing has created a number of communication challenges beyond what is typically experienced in the traditional client-server model. While the area of edge computing is in its infancy, few existing implementations address the wide-range of issues related to multi-protocol discovery, identity, messaging, security, and stateful operation of agents operating across heterogeneous computational and network architectures.

Idioma originalEnglish
Título de la publicación alojadaProceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019
Páginas387-392
Número de páginas6
ISBN (versión digital)9781728129778
DOI
EstadoPublished - nov 2019
Evento2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019 - Orlando, United States
Duración: nov 10 2019nov 12 2019

Serie de la publicación

NombreProceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019

Conference

Conference2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019
País/TerritorioUnited States
CiudadOrlando
Período11/10/1911/12/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

Financiación

ACKNOWLEDGMENT This material is based upon work supported by the National Science Foundation under Grant No. ACI-1450937 Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

FinanciadoresNúmero del financiador
National Science Foundation Arctic Social Science ProgramACI-1450937

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Information Systems and Management
    • Industrial and Manufacturing Engineering
    • Safety, Risk, Reliability and Quality

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